






"""simple docstring"""





def 	lowerCamelCase__			(				_lowerCamelCase			:						int					) ->							list:

  # bit count represents no. of bits in the gray code
  if bit_count < 0:
    raise ValueError('The given input must be positive'					)

  # get the generated string sequence
  lowerCamelCase_       	=		gray_code_sequence_string(_lowerCamelCase					)
  #
  # convert them to integers
  for i in range(len(_lowerCamelCase					)					):
    lowerCamelCase_       	=		int(sequence[i]						,							2					)

  return sequence







def 	lowerCamelCase__			(				_lowerCamelCase			:						int					) ->							list:

  # The approach is a recursive one
  # Base case achieved when either n = 0 or n=1
  if bit_count == 0:
    return ["0"]

  if bit_count == 1:
    return ["0", "1"]

  lowerCamelCase_       	=		1 << bit_count  # defines the length of the sequence
  # 1<< n is equivalent to 2^n

  # recursive answer will generate answer for n-1 bits
  lowerCamelCase_       	=		gray_code_sequence_string(bit_count - 1					)

  lowerCamelCase_       	=		[]

  # append 0 to first half of the smaller sequence generated
  for i in range(seq_len // 2					):
    lowerCamelCase_       	=		'0' + smaller_sequence[i]
    sequence.append(_lowerCamelCase					)

  # append 1 to second half ... start from the end of the list
  for i in reversed(range(seq_len // 2					)					):
    lowerCamelCase_       	=		'1' + smaller_sequence[i]
    sequence.append(_lowerCamelCase					)

  return sequence


if __name__ == "__main__":
  import doctest

  doctest.testmod()












"""simple docstring"""





from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest






@require_tokenizers
class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizer
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizerFast
    SCREAMING_SNAKE_CASE		:	int		=					True






    @slow
    def   UpperCamelCase			(			self	:				Optional[int]   )	->						int:
      lowerCamelCase_       	=		DistilBertTokenizer.from_pretrained('distilbert-base-uncased'   )

      lowerCamelCase_       	=		tokenizer.encode('sequence builders'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode('multi-sequence build'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
      assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
          tokenizer.sep_token_id
      ]




